Yungui Huang
- Molecular Biology
- Artificial Intelligence top 5%
- General Health Professions top 10%
- Genetics
- Cognitive Neuroscience top 10%
- Co-authors
- Simon LinEmre SezgınSoheil MoosavinasabVeronica J. VielandHuan SunUjjwal RamtekkarPing ZhangWen Zhang
- Topics
- Genetic Associations and Epidemiology (11 papers)Mobile Health and mHealth Applications (10 papers)Biomedical Text Mining and Ontologies (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yungui Huang
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 358
- Artificial Intelligence 206
- General Health Professions 175
- Genetics 166
- Cognitive Neuroscience 141
Countries citing papers authored by Yungui Huang
This map shows the geographic impact of Yungui Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yungui Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yungui Huang more than expected).
Fields of papers citing papers by Yungui Huang
This network shows the impact of papers produced by Yungui Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yungui Huang. The network helps show where Yungui Huang may publish in the future.
Co-authorship network of co-authors of Yungui Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yungui Huang. A scholar is included among the top collaborators of Yungui Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yungui Huang. Yungui Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 24 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | Char2Vec: Learning the Semantic Embedding of Rare and Unseen Words in the Biomedical Literature. | 1 |
| 16 | Evaluation of a Machine Learning Method to Rank PubMed Central Articles For Clinical Relevancy: NCH at TREC 2016 Clinical Decision Support Track. | 1 |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 33 | |
| 20 | Respiratory symptoms and use of medical care associated with child day care and health care plan among preschool children. | 3 |
About Yungui Huang
Yungui Huang is a scholar working on Health Information Management, Health Informatics and Applied Psychology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Mobile Health and mHealth Applications (10 papers) and Biomedical Text Mining and Ontologies (8 papers). The work is most often cited by research in Health Informatics (44 citations), Health Information Management (68 citations) and Applied Psychology (64 citations). Yungui Huang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Simon Lin, Emre Sezgın, Soheil Moosavinasab, Veronica J. Vieland, Huan Sun, Ujjwal Ramtekkar, Ping Zhang, Wen Zhang, Srinivasan Parthasarathy and Zhen Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.